Replication materials for Däubler, Thomas and Kenneth Benoit (2002) "Scaling hand-coded political texts to learn more about left-right policy content." Party Politics. 28(5, September): 834–844. 10.1177/13540688211026076.
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PP_preparedata.R
: this prepares the data for analysis -
PP_runsimul.R
: this does the HMC sampling of the measurement models -
PP_analysis.R
: this analyzes the results and prepares the graphs -
HMC_R_functions_PP.R
: functions that the above scripts use -
HMC_Stan_code_PP.R
: the STAN code PP_runsimul uses through one of the R_functions. -
resultsPP
: the results from the simulations for the CMP data. -
resultsCAPPP
: the results from the simulations for the CAP data. This file saves results that are too large for GitHub but that is available here:resultsCAPPP.RData
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`cmpcatlab- : some category labels for the CMP data
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CMP2018b.RData
: 2018b version of the Manifesto Project data -
2014_CHES_dataset_means.dta
andCHES_means_2017.dta
: Chapel Hill expert survey data -
MPDataset_MPDS2014b_plusexperts.dta
: an earlier CMP dataset with expert survey information added -
partyfacts-external-parties.dta
: party link file from PartyFacts. Too large for GitHub, but is available here. -
qog_tomerge_2019.dta
: Quality of Government data on country-level democracy indicators -
PP_CAPdata.RData
andPP_data.RData
: the files created by the scriptPP_preparedata.R
resultsPP.RData
(available here)